Overview

Dataset statistics

Number of variables16
Number of observations2178
Missing cells401
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory289.4 KiB
Average record size in memory136.1 B

Variable types

Numeric8
Categorical5
Text1
DateTime2

Dataset

Description중소벤처기업진흥공단의 연수사업을 담당하는 6개의 지방연수원* 중 중소벤처기업연수원(안산)에서 운영 중인 연수과정별 운영현황입니다. 해당 목록에서 아래의 칼럼명에 해당하는 데이터를 확인해 주십시오.* 중소벤처기업연수원(안산), 호남연수원(광주), 대구경북연수원(경산), 부산경남연수원(창원), 충청연수원(천안), 글로벌리더십연수원(태백)- 칼럼명: 순번, 연수원, 분류, 장소, 과정명, 기간, 교육시간(시), 시작일, 종료일, 연수비(원), 환급액(원), 신청인원(명), 등록인원(명), 수료인원(명)
Author중소벤처기업진흥공단
URLhttps://www.data.go.kr/data/15106776/fileData.do

Alerts

분류 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
연수원 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
순번 is highly overall correlated with 연수원 and 2 other fieldsHigh correlation
연수비 is highly overall correlated with 환급액_대_1000인 이상 and 2 other fieldsHigh correlation
환급액_대_1000인 이상 is highly overall correlated with 연수비 and 3 other fieldsHigh correlation
환금액_대_1000인 미만 is highly overall correlated with 연수비 and 3 other fieldsHigh correlation
환급액_중소기업 is highly overall correlated with 연수비 and 3 other fieldsHigh correlation
신청인원 is highly overall correlated with 등록인원 and 1 other fieldsHigh correlation
등록인원 is highly overall correlated with 신청인원 and 1 other fieldsHigh correlation
수료인원 is highly overall correlated with 신청인원 and 1 other fieldsHigh correlation
장소 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
기간 is highly overall correlated with 교육시간High correlation
교육시간 is highly overall correlated with 환급액_대_1000인 이상 and 3 other fieldsHigh correlation
수료인원 has 401 (18.4%) missing valuesMissing
순번 has unique valuesUnique
연수비 has 1105 (50.7%) zerosZeros
환급액_대_1000인 이상 has 1576 (72.4%) zerosZeros
환금액_대_1000인 미만 has 1576 (72.4%) zerosZeros
환급액_중소기업 has 1576 (72.4%) zerosZeros
신청인원 has 634 (29.1%) zerosZeros
등록인원 has 706 (32.4%) zerosZeros
수료인원 has 330 (15.2%) zerosZeros

Reproduction

Analysis started2023-12-12 04:01:21.043800
Analysis finished2023-12-12 04:01:32.836129
Duration11.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1089.5
Minimum1
Maximum2178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-12T13:01:32.926916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile109.85
Q1545.25
median1089.5
Q31633.75
95-th percentile2069.15
Maximum2178
Range2177
Interquartile range (IQR)1088.5

Descriptive statistics

Standard deviation628.87876
Coefficient of variation (CV)0.57721777
Kurtosis-1.2
Mean1089.5
Median Absolute Deviation (MAD)544.5
Skewness0
Sum2372931
Variance395488.5
MonotonicityStrictly increasing
2023-12-12T13:01:33.119250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1456 1
 
< 0.1%
1450 1
 
< 0.1%
1451 1
 
< 0.1%
1452 1
 
< 0.1%
1453 1
 
< 0.1%
1454 1
 
< 0.1%
1455 1
 
< 0.1%
1457 1
 
< 0.1%
1635 1
 
< 0.1%
Other values (2168) 2168
99.5%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2178 1
< 0.1%
2177 1
< 0.1%
2176 1
< 0.1%
2175 1
< 0.1%
2174 1
< 0.1%
2173 1
< 0.1%
2172 1
< 0.1%
2171 1
< 0.1%
2170 1
< 0.1%
2169 1
< 0.1%

연수원
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
중소벤처기업연수원
1046 
대구경북연수원
303 
호남연수원
272 
부산경남연수원
216 
충청연수원
200 
Other values (3)
141 

Length

Max length14
Median length9
Mean length7.7460973
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중소벤처기업연수원
2nd row중소벤처기업연수원
3rd row중소벤처기업연수원
4th row중소벤처기업연수원
5th row중소벤처기업연수원

Common Values

ValueCountFrequency (%)
중소벤처기업연수원 1046
48.0%
대구경북연수원 303
 
13.9%
호남연수원 272
 
12.5%
부산경남연수원 216
 
9.9%
충청연수원 200
 
9.2%
글로벌리더십연수원 102
 
4.7%
기업인력연수처(연수혁신팀) 33
 
1.5%
기업인력연수처(연수기획팀) 6
 
0.3%

Length

2023-12-12T13:01:33.328535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:01:33.553392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중소벤처기업연수원 1046
48.0%
대구경북연수원 303
 
13.9%
호남연수원 272
 
12.5%
부산경남연수원 216
 
9.9%
충청연수원 200
 
9.2%
글로벌리더십연수원 102
 
4.7%
기업인력연수처(연수혁신팀 33
 
1.5%
기업인력연수처(연수기획팀 6
 
0.3%

분류
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
대구경북연수원
303 
스마트기술(뿌리,생산기술)
300 
호남연수원
272 
스마트공장
243 
창의인재(경영)
226 
Other values (8)
834 

Length

Max length14
Median length12
Mean length8.0422406
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row스마트기술(뿌리,생산기술)
2nd row스마트기술(뿌리,생산기술)
3rd row스마트기술(뿌리,생산기술)
4th row스마트기술(뿌리,생산기술)
5th row스마트기술(뿌리,생산기술)

Common Values

ValueCountFrequency (%)
대구경북연수원 303
13.9%
스마트기술(뿌리,생산기술) 300
13.8%
호남연수원 272
12.5%
스마트공장 243
11.2%
창의인재(경영) 226
10.4%
부산경남연수원 216
9.9%
충청연수원 200
9.2%
스마트기술(전기전자) 159
7.3%
글로벌리더십연수원 102
 
4.7%
스마트생산(생산품질) 101
 
4.6%
Other values (3) 56
 
2.6%

Length

2023-12-12T13:01:33.739273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구경북연수원 303
13.9%
스마트기술(뿌리,생산기술 300
13.8%
호남연수원 272
12.5%
스마트공장 243
11.2%
창의인재(경영 226
10.4%
부산경남연수원 216
9.9%
충청연수원 200
9.2%
스마트기술(전기전자 159
7.3%
글로벌리더십연수원 102
 
4.7%
스마트생산(생산품질 101
 
4.6%
Other values (3) 56
 
2.6%

장소
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
안산
990 
경산
300 
진해
216 
기타
195 
충청
194 
Other values (7)
283 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row안산
2nd row안산
3rd row안산
4th row안산
5th row안산

Common Values

ValueCountFrequency (%)
안산 990
45.5%
경산 300
 
13.8%
진해 216
 
9.9%
기타 195
 
9.0%
충청 194
 
8.9%
광주 178
 
8.2%
태백 79
 
3.6%
서울 12
 
0.6%
대구 5
 
0.2%
진주 5
 
0.2%
Other values (2) 4
 
0.2%

Length

2023-12-12T13:01:33.922781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안산 990
45.5%
경산 300
 
13.8%
진해 216
 
9.9%
기타 195
 
9.0%
충청 194
 
8.9%
광주 178
 
8.2%
태백 79
 
3.6%
서울 12
 
0.6%
대구 5
 
0.2%
진주 5
 
0.2%
Other values (2) 4
 
0.2%

과정명
Text

Distinct1167
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
2023-12-12T13:01:34.280579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length42
Mean length22.179982
Min length5

Characters and Unicode

Total characters48308
Distinct characters579
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique552 ?
Unique (%)25.3%

Sample

1st row[웨비나] 초보가 꼭 알아야 할 도면의 이해와 활용
2nd row[웨비나] 자동화이야기(스마트공장의 자동화)
3rd row[웨비나] 사출성형 스마트공장을 위한 모니터링 시스템 구축과 운영 지식
4th row[웨비나] 스마트공장 PLC 자동화제어 (MELSEC PLC활용)
5th row[웨비나] 도면해독 핵심 바로알기
ValueCountFrequency (%)
스마트공장 495
 
5.2%
및 259
 
2.7%
웨비나 237
 
2.5%
위한 237
 
2.5%
실무 213
 
2.2%
기업현장 119
 
1.3%
plc 119
 
1.3%
2022년 114
 
1.2%
구축 105
 
1.1%
활용 90
 
0.9%
Other values (1956) 7499
79.0%
2023-12-12T13:01:34.846528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7658
 
15.9%
기 1229
 
2.5%
장 1022
 
2.1%
스 986
 
2.0%
공 936
 
1.9%
트 851
 
1.8%
마 803
 
1.7%
업 727
 
1.5%
) 666
 
1.4%
( 665
 
1.4%
Other values (569) 32765
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32843
68.0%
Space Separator 7658
 
15.9%
Uppercase Letter 2661
 
5.5%
Close Punctuation 1315
 
2.7%
Open Punctuation 1314
 
2.7%
Decimal Number 969
 
2.0%
Lowercase Letter 851
 
1.8%
Other Punctuation 357
 
0.7%
Connector Punctuation 205
 
0.4%
Dash Punctuation 91
 
0.2%
Other values (2) 44
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1229
 
3.7%
장 1022
 
3.1%
스 986
 
3.0%
공 936
 
2.8%
트 851
 
2.6%
마 803
 
2.4%
업 727
 
2.2%
이 500
 
1.5%
리 455
 
1.4%
무 436
 
1.3%
Other values (485) 24898
75.8%
Uppercase Letter
ValueCountFrequency (%)
C 349
13.1%
P 322
12.1%
E 282
10.6%
S 259
9.7%
L 205
 
7.7%
A 188
 
7.1%
I 152
 
5.7%
M 144
 
5.4%
T 116
 
4.4%
O 107
 
4.0%
Other values (16) 537
20.2%
Lowercase Letter
ValueCountFrequency (%)
o 143
16.8%
e 96
11.3%
t 81
9.5%
r 75
8.8%
n 63
 
7.4%
l 49
 
5.8%
i 45
 
5.3%
c 39
 
4.6%
a 37
 
4.3%
u 36
 
4.2%
Other values (13) 187
22.0%
Other Punctuation
ValueCountFrequency (%)
, 135
37.8%
! 75
21.0%
/ 65
18.2%
· 25
 
7.0%
: 14
 
3.9%
. 12
 
3.4%
" 10
 
2.8%
& 8
 
2.2%
? 5
 
1.4%
＆ 4
 
1.1%
Other values (2) 4
 
1.1%
Decimal Number
ValueCountFrequency (%)
2 497
51.3%
0 172
 
17.8%
4 86
 
8.9%
3 83
 
8.6%
1 64
 
6.6%
9 28
 
2.9%
5 23
 
2.4%
6 14
 
1.4%
7 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 666
50.6%
] 644
49.0%
」 4
 
0.3%
』 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 665
50.6%
[ 644
49.0%
「 4
 
0.3%
『 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 38
92.7%
~ 3
 
7.3%
Space Separator
ValueCountFrequency (%)
7658
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 205
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%
Letter Number
ValueCountFrequency (%)
Ⅳ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32837
68.0%
Common 11950
 
24.7%
Latin 3515
 
7.3%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1229
 
3.7%
장 1022
 
3.1%
스 986
 
3.0%
공 936
 
2.9%
트 851
 
2.6%
마 803
 
2.4%
업 727
 
2.2%
이 500
 
1.5%
리 455
 
1.4%
무 436
 
1.3%
Other values (481) 24892
75.8%
Latin
ValueCountFrequency (%)
C 349
 
9.9%
P 322
 
9.2%
E 282
 
8.0%
S 259
 
7.4%
L 205
 
5.8%
A 188
 
5.3%
I 152
 
4.3%
M 144
 
4.1%
o 143
 
4.1%
T 116
 
3.3%
Other values (40) 1355
38.5%
Common
ValueCountFrequency (%)
7658
64.1%
) 666
 
5.6%
( 665
 
5.6%
[ 644
 
5.4%
] 644
 
5.4%
2 497
 
4.2%
_ 205
 
1.7%
0 172
 
1.4%
, 135
 
1.1%
- 91
 
0.8%
Other values (24) 573
 
4.8%
Han
ValueCountFrequency (%)
企 2
33.3%
中 2
33.3%
飛 1
16.7%
上 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32837
68.0%
ASCII 15423
31.9%
None 39
 
0.1%
CJK 6
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7658
49.7%
) 666
 
4.3%
( 665
 
4.3%
[ 644
 
4.2%
] 644
 
4.2%
2 497
 
3.2%
C 349
 
2.3%
P 322
 
2.1%
E 282
 
1.8%
S 259
 
1.7%
Other values (67) 3437
22.3%
Hangul
ValueCountFrequency (%)
기 1229
 
3.7%
장 1022
 
3.1%
스 986
 
3.0%
공 936
 
2.9%
트 851
 
2.6%
마 803
 
2.4%
업 727
 
2.2%
이 500
 
1.5%
리 455
 
1.4%
무 436
 
1.3%
Other values (481) 24892
75.8%
None
ValueCountFrequency (%)
· 25
64.1%
「 4
 
10.3%
＆ 4
 
10.3%
」 4
 
10.3%
『 1
 
2.6%
』 1
 
2.6%
Number Forms
ValueCountFrequency (%)
Ⅳ 3
100.0%
CJK
ValueCountFrequency (%)
企 2
33.3%
中 2
33.3%
飛 1
16.7%
上 1
16.7%

기간
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
1일
826 
2박3일
613 
1박2일
367 
3박4일
213 
4박5일
 
41
Other values (4)
118 

Length

Max length4
Median length4
Mean length3.1501377
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1일
2nd row1일
3rd row1일
4th row1일
5th row1일

Common Values

ValueCountFrequency (%)
1일 826
37.9%
2박3일 613
28.1%
1박2일 367
16.9%
3박4일 213
 
9.8%
4박5일 41
 
1.9%
기타 38
 
1.7%
3개월 37
 
1.7%
2일 33
 
1.5%
3일 10
 
0.5%

Length

2023-12-12T13:01:35.068646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:01:35.274785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1일 826
37.9%
2박3일 613
28.1%
1박2일 367
16.9%
3박4일 213
 
9.8%
4박5일 41
 
1.9%
기타 38
 
1.7%
3개월 37
 
1.7%
2일 33
 
1.5%
3일 10
 
0.5%

교육시간
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
기타
1254 
16
153 
20
 
123
24
 
78
14
 
55
Other values (29)
515 

Length

Max length3
Median length2
Mean length1.946281
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row기타
2nd row4
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
기타 1254
57.6%
16 153
 
7.0%
20 123
 
5.6%
24 78
 
3.6%
14 55
 
2.5%
18 53
 
2.4%
4 52
 
2.4%
28 50
 
2.3%
15 48
 
2.2%
22 43
 
2.0%
Other values (24) 269
 
12.4%

Length

2023-12-12T13:01:35.521905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 1254
57.6%
16 153
 
7.0%
20 123
 
5.6%
24 78
 
3.6%
14 55
 
2.5%
18 53
 
2.4%
4 52
 
2.4%
28 50
 
2.3%
15 48
 
2.2%
22 43
 
2.0%
Other values (24) 269
 
12.4%

시작일
Date

Distinct233
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
Minimum2022-01-03 00:00:00
Maximum2022-12-22 00:00:00
2023-12-12T13:01:35.716537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:35.900522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료일
Date

Distinct247
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
Minimum2022-01-03 00:00:00
Maximum2022-12-31 00:00:00
2023-12-12T13:01:36.065176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:36.223490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

연수비
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct132
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean527479.26
Minimum-1
Maximum19500000
Zeros1105
Zeros (%)50.7%
Negative5
Negative (%)0.2%
Memory size19.3 KiB
2023-12-12T13:01:36.459302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q3341000
95-th percentile2147300
Maximum19500000
Range19500001
Interquartile range (IQR)341000

Descriptive statistics

Standard deviation1818178.2
Coefficient of variation (CV)3.4469188
Kurtosis35.962497
Mean527479.26
Median Absolute Deviation (MAD)0
Skewness5.754571
Sum1.1488498 × 109
Variance3.3057719 × 1012
MonotonicityNot monotonic
2023-12-12T13:01:36.684267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1105
50.7%
330000 276
 
12.7%
341000 171
 
7.9%
440000 165
 
7.6%
242000 101
 
4.6%
253000 49
 
2.2%
429000 40
 
1.8%
90000 33
 
1.5%
539000 25
 
1.1%
1 21
 
1.0%
Other values (122) 192
 
8.8%
ValueCountFrequency (%)
-1 5
 
0.2%
0 1105
50.7%
1 21
 
1.0%
20 1
 
< 0.1%
44000 1
 
< 0.1%
45000 1
 
< 0.1%
60000 1
 
< 0.1%
80000 1
 
< 0.1%
90000 33
 
1.5%
105000 9
 
0.4%
ValueCountFrequency (%)
19500000 1
 
< 0.1%
17031000 1
 
< 0.1%
15000000 1
 
< 0.1%
14371000 1
 
< 0.1%
13111000 12
0.6%
13000000 1
 
< 0.1%
12396000 8
0.4%
12000000 1
 
< 0.1%
11200000 1
 
< 0.1%
10750000 1
 
< 0.1%

환급액_대_1000인 이상
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct141
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23301.635
Minimum0
Maximum150961
Zeros1576
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-12T13:01:36.887437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q351690
95-th percentile107615.75
Maximum150961
Range150961
Interquartile range (IQR)51690

Descriptive statistics

Standard deviation39751.478
Coefficient of variation (CV)1.7059523
Kurtosis0.21692186
Mean23301.635
Median Absolute Deviation (MAD)0
Skewness1.3292825
Sum50750961
Variance1.58018 × 109
MonotonicityNot monotonic
2023-12-12T13:01:37.081946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1576
72.4%
113754 36
 
1.7%
78686 29
 
1.3%
102708 29
 
1.3%
99364 20
 
0.9%
111310 19
 
0.9%
79140 17
 
0.8%
88588 10
 
0.5%
81556 10
 
0.5%
102700 10
 
0.5%
Other values (131) 422
 
19.4%
ValueCountFrequency (%)
0 1576
72.4%
23351 4
 
0.2%
36754 2
 
0.1%
42630 2
 
0.1%
45252 2
 
0.1%
45984 2
 
0.1%
46167 1
 
< 0.1%
46921 2
 
0.1%
47592 2
 
0.1%
47634 2
 
0.1%
ValueCountFrequency (%)
150961 2
 
0.1%
142368 4
0.2%
139710 2
 
0.1%
137342 9
0.4%
134903 4
0.2%
127754 8
0.4%
127586 1
 
< 0.1%
126142 3
 
0.1%
119774 3
 
0.1%
118644 3
 
0.1%

환금액_대_1000인 미만
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct141
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30678.855
Minimum0
Maximum196791
Zeros1576
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-12T13:01:37.278934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q371973.5
95-th percentile138773.55
Maximum196791
Range196791
Interquartile range (IQR)71973.5

Descriptive statistics

Standard deviation51990.228
Coefficient of variation (CV)1.69466
Kurtosis0.081381383
Mean30678.855
Median Absolute Deviation (MAD)0
Skewness1.2926572
Sum66818547
Variance2.7029838 × 109
MonotonicityNot monotonic
2023-12-12T13:01:37.505013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1576
72.4%
147982 36
 
1.7%
102378 29
 
1.3%
131412 29
 
1.3%
133396 20
 
0.9%
144314 19
 
0.9%
103060 17
 
0.8%
117232 10
 
0.5%
106684 10
 
0.5%
131410 10
 
0.5%
Other values (131) 422
 
19.4%
ValueCountFrequency (%)
0 1576
72.4%
33376 4
 
0.2%
51830 2
 
0.1%
60601 1
 
< 0.1%
61731 2
 
0.1%
62295 2
 
0.1%
64026 2
 
0.1%
64496 3
 
0.1%
66228 2
 
0.1%
66438 2
 
0.1%
ValueCountFrequency (%)
196791 2
 
0.1%
183901 4
0.2%
179914 2
 
0.1%
176362 9
0.4%
172704 4
0.2%
161982 8
0.4%
161730 1
 
< 0.1%
159562 3
 
0.1%
157012 3
 
0.1%
155316 3
 
0.1%

환급액_중소기업
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct141
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41744.666
Minimum0
Maximum265537
Zeros1576
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-12T13:01:37.729084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3101682.5
95-th percentile187088
Maximum265537
Range265537
Interquartile range (IQR)101682.5

Descriptive statistics

Standard deviation70418.182
Coefficient of variation (CV)1.6868786
Kurtosis-0.018968572
Mean41744.666
Median Absolute Deviation (MAD)0
Skewness1.265987
Sum90919882
Variance4.9587204 × 109
MonotonicityNot monotonic
2023-12-12T13:01:37.911191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1576
72.4%
199322 36
 
1.7%
137918 29
 
1.3%
174468 29
 
1.3%
184444 20
 
0.9%
193822 19
 
0.9%
138940 17
 
0.8%
160198 10
 
0.5%
144376 10
 
0.5%
174460 10
 
0.5%
Other values (131) 422
 
19.4%
ValueCountFrequency (%)
0 1576
72.4%
48414 4
 
0.2%
74446 2
 
0.1%
82251 1
 
< 0.1%
83947 2
 
0.1%
88094 3
 
0.1%
91089 2
 
0.1%
91793 2
 
0.1%
92648 2
 
0.1%
94677 2
 
0.1%
ValueCountFrequency (%)
265537 2
 
0.1%
246202 4
0.2%
240222 2
 
0.1%
234894 9
0.4%
229406 4
0.2%
213322 8
0.4%
212944 1
 
< 0.1%
212867 3
 
0.1%
210324 3
 
0.1%
209694 3
 
0.1%

신청인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct145
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.760331
Minimum0
Maximum575
Zeros634
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-12T13:01:38.146490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q319
95-th percentile64.3
Maximum575
Range575
Interquartile range (IQR)19

Descriptive statistics

Standard deviation37.43229
Coefficient of variation (CV)2.1076348
Kurtosis61.480548
Mean17.760331
Median Absolute Deviation (MAD)8
Skewness6.5004542
Sum38682
Variance1401.1763
MonotonicityNot monotonic
2023-12-12T13:01:38.324311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 634
29.1%
5 86
 
3.9%
7 79
 
3.6%
4 78
 
3.6%
3 75
 
3.4%
8 74
 
3.4%
6 72
 
3.3%
10 64
 
2.9%
9 53
 
2.4%
11 50
 
2.3%
Other values (135) 913
41.9%
ValueCountFrequency (%)
0 634
29.1%
1 39
 
1.8%
2 18
 
0.8%
3 75
 
3.4%
4 78
 
3.6%
5 86
 
3.9%
6 72
 
3.3%
7 79
 
3.6%
8 74
 
3.4%
9 53
 
2.4%
ValueCountFrequency (%)
575 1
< 0.1%
470 1
< 0.1%
468 1
< 0.1%
385 1
< 0.1%
342 1
< 0.1%
330 1
< 0.1%
312 1
< 0.1%
307 1
< 0.1%
305 1
< 0.1%
282 1
< 0.1%

등록인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct133
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.041781
Minimum0
Maximum521
Zeros706
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-12T13:01:38.546597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q317
95-th percentile59.15
Maximum521
Range521
Interquartile range (IQR)17

Descriptive statistics

Standard deviation34.243442
Coefficient of variation (CV)2.1346409
Kurtosis59.108947
Mean16.041781
Median Absolute Deviation (MAD)7
Skewness6.4007965
Sum34939
Variance1172.6133
MonotonicityNot monotonic
2023-12-12T13:01:38.757868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 706
32.4%
7 89
 
4.1%
5 85
 
3.9%
4 84
 
3.9%
8 76
 
3.5%
6 76
 
3.5%
10 66
 
3.0%
3 66
 
3.0%
9 60
 
2.8%
11 54
 
2.5%
Other values (123) 816
37.5%
ValueCountFrequency (%)
0 706
32.4%
1 12
 
0.6%
2 9
 
0.4%
3 66
 
3.0%
4 84
 
3.9%
5 85
 
3.9%
6 76
 
3.5%
7 89
 
4.1%
8 76
 
3.5%
9 60
 
2.8%
ValueCountFrequency (%)
521 1
< 0.1%
465 1
< 0.1%
338 1
< 0.1%
330 1
< 0.1%
312 1
< 0.1%
307 1
< 0.1%
305 1
< 0.1%
287 1
< 0.1%
281 1
< 0.1%
255 1
< 0.1%

수료인원
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct134
Distinct (%)7.5%
Missing401
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean18.43444
Minimum0
Maximum330
Zeros330
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-12T13:01:38.962772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median9
Q320
95-th percentile64
Maximum330
Range330
Interquartile range (IQR)16

Descriptive statistics

Standard deviation32.848552
Coefficient of variation (CV)1.7819121
Kurtosis31.1429
Mean18.43444
Median Absolute Deviation (MAD)7
Skewness4.9167256
Sum32758
Variance1079.0274
MonotonicityNot monotonic
2023-12-12T13:01:39.162468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 330
15.2%
7 95
 
4.4%
5 87
 
4.0%
6 80
 
3.7%
4 80
 
3.7%
3 70
 
3.2%
8 67
 
3.1%
10 65
 
3.0%
11 60
 
2.8%
9 60
 
2.8%
Other values (124) 783
36.0%
(Missing) 401
18.4%
ValueCountFrequency (%)
0 330
15.2%
1 7
 
0.3%
2 13
 
0.6%
3 70
 
3.2%
4 80
 
3.7%
5 87
 
4.0%
6 80
 
3.7%
7 95
 
4.4%
8 67
 
3.1%
9 60
 
2.8%
ValueCountFrequency (%)
330 1
< 0.1%
328 1
< 0.1%
322 1
< 0.1%
291 1
< 0.1%
287 1
< 0.1%
255 1
< 0.1%
247 1
< 0.1%
246 1
< 0.1%
244 1
< 0.1%
233 1
< 0.1%

Interactions

2023-12-12T13:01:31.064068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:22.837917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:23.908209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:25.497628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:26.834053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:27.928726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:28.983830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:30.068603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:31.158417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:22.972065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:24.397718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:25.674489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:26.986075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:28.035107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:29.110699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:30.177132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:31.286201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:23.124650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:24.559376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:25.884357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:27.146007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:28.161461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:29.269556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:30.298964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:31.429844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:23.242127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:24.730553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:26.083945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:27.275609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:28.300529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:29.409748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:30.448888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:31.549462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:23.392662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:24.905742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:26.253903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:27.439195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:28.454683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:29.548692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:30.581629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:31.668310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:23.533153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:25.048285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:26.386764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:27.575027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:28.583225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:29.691254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:30.710794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:31.778651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:23.662267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:25.208270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:26.553185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:27.698782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:28.709784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:29.824678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:30.838582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:31.922101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:23.799393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:25.349684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:26.697580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:27.813415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:28.851820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:29.942439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:01:30.945160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:01:39.655712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번연수원분류장소기간교육시간연수비환급액_대_1000인 이상환금액_대_1000인 미만환급액_중소기업신청인원등록인원수료인원
순번1.0000.8830.9420.8460.4410.7350.2920.5560.5610.5490.1560.1240.318
연수원0.8831.0001.0000.9860.4150.8110.2880.3030.2950.2950.0900.0780.149
분류0.9421.0001.0000.9310.5490.8390.2720.5000.5130.5180.1700.1480.250
장소0.8460.9860.9311.0000.4890.7730.3060.3140.3030.3020.2550.1970.258
기간0.4410.4150.5490.4891.0000.8730.2690.7300.7290.7280.2310.2340.187
교육시간0.7350.8110.8390.7730.8731.0000.3660.9160.9140.9110.0850.1380.165
연수비0.2920.2880.2720.3060.2690.3661.0000.0000.0000.0000.2310.2320.422
환급액_대_1000인 이상0.5560.3030.5000.3140.7300.9160.0001.0000.9960.9890.0000.0000.049
환금액_대_1000인 미만0.5610.2950.5130.3030.7290.9140.0000.9961.0000.9980.0000.0000.049
환급액_중소기업0.5490.2950.5180.3020.7280.9110.0000.9890.9981.0000.0000.0000.049
신청인원0.1560.0900.1700.2550.2310.0850.2310.0000.0000.0001.0000.9820.858
등록인원0.1240.0780.1480.1970.2340.1380.2320.0000.0000.0000.9821.0000.896
수료인원0.3180.1490.2500.2580.1870.1650.4220.0490.0490.0490.8580.8961.000
2023-12-12T13:01:39.842084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소분류연수원기간교육시간
장소1.0000.7100.8880.2320.371
분류0.7101.0000.9990.2720.441
연수원0.8880.9991.0000.2180.478
기간0.2320.2720.2181.0000.557
교육시간0.3710.4410.4780.5571.000
2023-12-12T13:01:39.988061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번연수비환급액_대_1000인 이상환금액_대_1000인 미만환급액_중소기업신청인원등록인원수료인원연수원분류장소기간교육시간
순번1.000-0.171-0.266-0.266-0.2670.0680.0830.0910.6880.7830.5690.2180.359
연수비-0.1711.0000.6160.6170.617-0.238-0.217-0.1530.1410.1160.1330.1250.136
환급액_대_1000인 이상-0.2660.6161.0001.0000.999-0.331-0.305-0.3160.1500.2330.1370.4440.633
환금액_대_1000인 미만-0.2660.6171.0001.0001.000-0.333-0.306-0.3170.1450.2410.1320.4420.626
환급액_중소기업-0.2670.6170.9991.0001.000-0.333-0.307-0.3170.1450.2440.1310.4420.620
신청인원0.068-0.238-0.331-0.333-0.3331.0000.9770.9500.0440.0730.1110.0760.031
등록인원0.083-0.217-0.305-0.306-0.3070.9771.0000.9790.0380.0640.0840.0770.051
수료인원0.091-0.153-0.316-0.317-0.3170.9500.9791.0000.0680.1040.1100.0830.058
연수원0.6880.1410.1500.1450.1450.0440.0380.0681.0000.9990.8880.2180.478
분류0.7830.1160.2330.2410.2440.0730.0640.1040.9991.0000.7100.2720.441
장소0.5690.1330.1370.1320.1310.1110.0840.1100.8880.7101.0000.2320.371
기간0.2180.1250.4440.4420.4420.0760.0770.0830.2180.2720.2321.0000.557
교육시간0.3590.1360.6330.6260.6200.0310.0510.0580.4780.4410.3710.5571.000

Missing values

2023-12-12T13:01:32.444874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:01:32.723286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번연수원분류장소과정명기간교육시간시작일종료일연수비환급액_대_1000인 이상환금액_대_1000인 미만환급액_중소기업신청인원등록인원수료인원
01중소벤처기업연수원스마트기술(뿌리,생산기술)안산[웨비나] 초보가 꼭 알아야 할 도면의 이해와 활용1일기타2022-01-262022-01-260000282321
12중소벤처기업연수원스마트기술(뿌리,생산기술)안산[웨비나] 자동화이야기(스마트공장의 자동화)1일42022-01-272022-01-270000474036
23중소벤처기업연수원스마트기술(뿌리,생산기술)안산[웨비나] 사출성형 스마트공장을 위한 모니터링 시스템 구축과 운영 지식1일기타2022-02-182022-02-180000232117
34중소벤처기업연수원스마트기술(뿌리,생산기술)안산[웨비나] 스마트공장 PLC 자동화제어 (MELSEC PLC활용)1일기타2022-02-222022-02-220000221211
45중소벤처기업연수원스마트기술(뿌리,생산기술)안산[웨비나] 도면해독 핵심 바로알기1일기타2022-02-232022-02-230000302423
56중소벤처기업연수원스마트기술(뿌리,생산기술)안산[웨비나] 자동화이야기(로봇&서보모터제어)1일기타2022-02-232022-02-230000262121
67중소벤처기업연수원스마트기술(뿌리,생산기술)안산[웨비나] 자동화이야기(로봇&서보모터제어)1일기타2022-03-072022-03-070000161111
78중소벤처기업연수원스마트기술(뿌리,생산기술)안산[웨비나] 자동화이야기(로봇-PLC제어인터페이스)1일기타2022-03-082022-03-080000211211
89중소벤처기업연수원스마트기술(뿌리,생산기술)안산[웨비나]스마트공장 자동화설비 센서활용1일기타2022-03-142022-03-140000191515
910중소벤처기업연수원스마트기술(뿌리,생산기술)안산[웨비나]스마트공장 자동화설비 HMI 활용기술1일기타2022-03-162022-03-160000312726
순번연수원분류장소과정명기간교육시간시작일종료일연수비환급액_대_1000인 이상환금액_대_1000인 미만환급액_중소기업신청인원등록인원수료인원
21682169기업인력연수처(연수혁신팀)K-기업가정신센터기타살아숨쉬는 기업가정신(1박2일)1박2일102022-11-072022-11-080000171717
21692170기업인력연수처(연수혁신팀)K-기업가정신센터기타살아숨쉬는 기업가정신(1박2일)1박2일102022-11-182022-11-190000131313
21702171기업인력연수처(연수혁신팀)K-기업가정신센터기타살아숨쉬는 기업가정신(1박2일)1박2일102022-11-222022-11-230000999
21712172기업인력연수처(연수혁신팀)K-기업가정신센터기타살아숨쉬는 기업가정신(1박2일)1박2일102022-11-242022-11-250000111111
21722173기업인력연수처(연수혁신팀)K-기업가정신센터기타살아숨쉬는 기업가정신(당일)1일기타2022-12-012022-12-010000141414
21732174기업인력연수처(연수혁신팀)K-기업가정신센터기타살아숨쉬는 기업가정신(당일)1일기타2022-12-032022-12-030000444444
21742175기업인력연수처(연수혁신팀)K-기업가정신센터기타살아숨쉬는 기업가정신(당일)1일기타2022-12-042022-12-040000303030
21752176기업인력연수처(연수혁신팀)K-기업가정신센터기타살아숨쉬는 기업가정신(당일)1일기타2022-12-062022-12-060000404040
21762177기업인력연수처(연수혁신팀)K-기업가정신센터기타살아숨쉬는 기업가정신(당일)1일기타2022-12-092022-12-090000151515
21772178기업인력연수처(연수혁신팀)K-기업가정신센터기타살아숨쉬는 기업가정신(2박3일)2박3일기타2022-12-122022-12-140000303030